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AI/ML Engineer

Exclusive opportunity

Onsite

AI/ML Engineer

Tasknera HR Solution

AI/ML Engineer

Skills

SQL QueriesData EngineeringDeep LearningDockerPythonKerasPyTorchTensorFlowMachine LearningAIAWSJiraNLP / Natural Language ProcessingFastAPI

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

27 August 2026

What they need


GenAI / AI-ML Engineer

Location: Gurugram (Hybrid)

Employment Type: Full-Time

Experience: 4–6 Years

Budget: 18-20 LPA (MAX)

Noida/NCR Local Candidates Only

Immediate Joiners Only (Serving Notice)

Key Responsibilities

  • Design, develop, and deploy scalable AI/ML and Generative AI solutions.
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.
  • Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.
  • Fine-tune, evaluate, and monitor machine learning and deep learning models.
  • Build REST APIs and backend services for AI applications.
  • Design data preprocessing, feature engineering, and model evaluation pipelines.
  • Integrate structured and unstructured data sources to deliver contextual AI solutions.
  • Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.
  • Ensure scalability, reliability, and performance of AI applications in production environments.

Programming & Development

  • Strong hands-on experience in Python and SQL.
  • Experience building APIs using FastAPI or similar frameworks.
  • Strong understanding of software engineering best practices and Agile methodologies.

Machine Learning & Deep Learning

  • Hands-on experience with:
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Keras
  • Strong understanding of:
  • Regression
  • Classification
  • Clustering
  • Feature Engineering
  • Model Evaluation
  • Hyperparameter Tuning

NLP & Generative AI

  • Minimum 1+ year of hands-on experience in GenAI/LLM projects.
  • Experience with:
  • Large Language Models (LLMs)
  • Prompt Engineering
  • RAG Architectures
  • Agentic AI / Multi-Agent Systems
  • LangChain
  • LangGraph
  • OpenAI APIs
  • Hugging Face
  • LangSmith

RAG & Vector Databases

  • Experience working with:
  • Pinecone
  • FAISS
  • Knowledge of embedding models and semantic search architectures.
  • Experience with RAG evaluation metrics such as RAGAS, BLEU, and ROUGE.

Cloud & DevOps

  • Hands-on experience with AWS services:
  • EC2
  • S3
  • SageMaker
  • Bedrock
  • Experience with Docker, Git, JIRA, and CI/CD practices.

Pay: Up to ₹2,000,000.00 per year

Application Question(s):

  • Relevant Experience to Gen AL/ML Engineer?
  • Current CTC and Expected CTC
  • Notice period days?

Work Location: In person

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